Answer:
42/6 or 7
Step-by-step explanation:
Answer:
a) The number of students in your school.
Step-by-step explanation:
Quantitative and Qualitative:
- The data that can be expressed with the help of numerical are know as quantitative variable.
- Qualitative variable is the non parametric variable and numerical does not describe the data
Discrete and Continuous data:
- Discrete data are expressed in whole number and cannot take all the values within an interval.
- Continuous variable can be expressed in decimals and can take any value within an interval.
a) The number of students in your school.
Since whole numbers are used to express number of children it is a discrete and continuous data.
b) The different colors of the eyes of your classmates.
These are qualitative data and numerical are not used to express them.
c) The height of all the people in your neighborhood.
These are continuous data as height is measured and can be expressed in decimals.
d) The acceleration of your car as you drive to school.
These are continuous data as acceleration is measured and can be expressed in decimals.
Answer:
Step-by-step explanation:
Given
The x and y values
Required
The regression line equation
Because of the length of the given data, I will run the analysis using online tools, then analyze the result.
From the analysis, we have:
--- Sum of squares
--- Sum of products
The regression equation is calculated as:
Where:
So, we have:
So:
becomes
Would it be 3/2 since it’s rise over run with 3 on the x line to 5 and 5 on the y line to 8
In statistical methods, the significance level is a value that is used as a criterion for rejecting a null hypothesis. It used by first looking at the differences between the experimental results and from there the null hypothesis would be determined. Then, we assume that the null hypothesis is true, the probability of the differences is computed by using statistical tools. If the computed probability is less than or equal to the value of the significance level, then you conclude that the null hypothesis should be rejected and that the results are statistically significant. Usually, a significance level of 1% or 5% is used.
